EP2074557A4 - Method and system for learning spatio-spectral features in an image - Google Patents

Method and system for learning spatio-spectral features in an image

Info

Publication number
EP2074557A4
EP2074557A4 EP07838860A EP07838860A EP2074557A4 EP 2074557 A4 EP2074557 A4 EP 2074557A4 EP 07838860 A EP07838860 A EP 07838860A EP 07838860 A EP07838860 A EP 07838860A EP 2074557 A4 EP2074557 A4 EP 2074557A4
Authority
EP
European Patent Office
Prior art keywords
image
spectral features
spatio
learning
learning spatio
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
EP07838860A
Other languages
German (de)
French (fr)
Other versions
EP2074557B1 (en
EP2074557A1 (en
Inventor
Kristin Jean Dana
Richard Mark Friedhoff
Bruce Allen Maxwell
Casey Arthur Smith
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Tandent Vision Science Inc
Original Assignee
Tandent Vision Science Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Tandent Vision Science Inc filed Critical Tandent Vision Science Inc
Publication of EP2074557A1 publication Critical patent/EP2074557A1/en
Publication of EP2074557A4 publication Critical patent/EP2074557A4/en
Application granted granted Critical
Publication of EP2074557B1 publication Critical patent/EP2074557B1/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/90Determination of colour characteristics
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/21Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/211Selection of the most significant subset of features
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • G06V10/60Extraction of image or video features relating to illumination properties, e.g. using a reflectance or lighting model
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/771Feature selection, e.g. selecting representative features from a multi-dimensional feature space
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/778Active pattern-learning, e.g. online learning of image or video features
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10024Color image
EP07838860.0A 2006-09-27 2007-09-26 Method and system for learning spatio-spectral features in an image Active EP2074557B1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US11/528,128 US7747079B2 (en) 2006-09-27 2006-09-27 Method and system for learning spatio-spectral features in an image
PCT/US2007/020746 WO2008039480A1 (en) 2006-09-27 2007-09-26 Method and system for learning spatio-spectral features in an image

Publications (3)

Publication Number Publication Date
EP2074557A1 EP2074557A1 (en) 2009-07-01
EP2074557A4 true EP2074557A4 (en) 2011-04-20
EP2074557B1 EP2074557B1 (en) 2014-11-12

Family

ID=39225032

Family Applications (1)

Application Number Title Priority Date Filing Date
EP07838860.0A Active EP2074557B1 (en) 2006-09-27 2007-09-26 Method and system for learning spatio-spectral features in an image

Country Status (3)

Country Link
US (1) US7747079B2 (en)
EP (1) EP2074557B1 (en)
WO (1) WO2008039480A1 (en)

Families Citing this family (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7894662B2 (en) * 2006-10-11 2011-02-22 Tandent Vision Science, Inc. Method for using image depth information in identifying illumination fields
US8144978B2 (en) * 2007-08-01 2012-03-27 Tandent Vision Science, Inc. System and method for identifying complex tokens in an image
US8139867B2 (en) * 2008-12-05 2012-03-20 Tandent Vision Science, Inc. Image segregation system architecture
US8139850B2 (en) * 2008-12-05 2012-03-20 Tandent Vision Science, Inc. Constraint generation for use in image segregation
US8391601B2 (en) * 2009-04-30 2013-03-05 Tandent Vision Science, Inc. Method for image modification
US8311338B2 (en) * 2009-09-15 2012-11-13 Tandent Vision Science, Inc. Method and system for learning a same-material constraint in an image
US8452109B2 (en) * 2010-01-11 2013-05-28 Tandent Vision Science, Inc. Image segregation system with method for handling textures
US8649607B1 (en) * 2010-01-25 2014-02-11 Stc.Unm Spectral ratio contrast for edge detection in spectral images
US9430842B1 (en) * 2013-07-17 2016-08-30 Stc.Unm Material classification fused with spatio-spectral edge detection in spectral imagery
US9607207B1 (en) * 2014-03-31 2017-03-28 Amazon Technologies, Inc. Plane-fitting edge detection
CN105046202B (en) * 2015-06-23 2019-04-16 南京理工大学 Adaptive recognition of face lighting process method

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US5214744A (en) * 1990-12-14 1993-05-25 Westinghouse Electric Corp. Method and apparatus for automatically identifying targets in sonar images
EP0610605B1 (en) 1993-02-11 1997-07-16 Agfa-Gevaert N.V. Method of recognising an irradiation field
US5917948A (en) * 1996-05-06 1999-06-29 Holtz; Klaus Image compression with serial tree networks
US7454342B2 (en) 2003-03-19 2008-11-18 Intel Corporation Coupled hidden Markov model (CHMM) for continuous audiovisual speech recognition
US7536044B2 (en) * 2003-11-19 2009-05-19 Siemens Medical Solutions Usa, Inc. System and method for detecting and matching anatomical structures using appearance and shape
US7184890B2 (en) * 2003-11-24 2007-02-27 The Boeing Company Cloud shadow detection: VNIR-SWIR
US7848566B2 (en) 2004-10-22 2010-12-07 Carnegie Mellon University Object recognizer and detector for two-dimensional images using bayesian network based classifier
US7526101B2 (en) 2005-01-24 2009-04-28 Mitsubishi Electric Research Laboratories, Inc. Tracking objects in videos with adaptive classifiers
US7672530B2 (en) 2005-01-27 2010-03-02 Tandent Vision Science, Inc. Method and system for identifying illumination flux in an image

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
BARNARD K ET AL: "Shadow Identification Using Color Ratios", IS AND T. 1TH COLOUR IMAGING CONFERENCE, COLOUR SCIENCE, SYSTEMS AND APPLICATIONS,, 1 January 2000 (2000-01-01), pages 97 - 100, XP003018771 *
GEVERS T ET AL: "Color Feature Detection and Classification by Learning", IMAGE PROCESSING,2005. ICIP 2005,, vol. 2, 11 September 2005 (2005-09-11), pages 714 - 717, XP010851153, ISBN: 978-0-7803-9134-5, DOI: 10.1109/ICIP.2005.1530155 *
HARA K ET AL: "Multiple Light Sources and Reflectance Property Estimation Based on a Mixture of Spherical Distributions", COMPUTER VISION, 2005. ICCV 2005. TENTH IEEE INTERNATIONAL CONFERENCE ON BEIJING, CHINA 17-20 OCT. 2005, PISCATAWAY, NJ, USA,IEEE, LOS ALAMITOS, CA, USA, vol. 2, 17 October 2005 (2005-10-17), pages 1627 - 1634, XP010857008, ISBN: 978-0-7695-2334-7, DOI: 10.1109/ICCV.2005.162 *
See also references of WO2008039480A1 *
TAPPEN M F ET AL: "Recovering intrinsic images from a single image", IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, IEEE SERVICE CENTER, LOS ALAMITOS, CA, US, vol. 27, no. 9, 1 September 2005 (2005-09-01), pages 1459 - 1472, XP001512627, ISSN: 0162-8828, DOI: 10.1109/TPAMI.2005.185 *

Also Published As

Publication number Publication date
EP2074557B1 (en) 2014-11-12
EP2074557A1 (en) 2009-07-01
WO2008039480A1 (en) 2008-04-03
US7747079B2 (en) 2010-06-29
US20080075371A1 (en) 2008-03-27

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